Buildings with low open violation rates near the R train in NYC
This page helps you find buildings with low open violation rates near the R train in NYC. There are 6,500+ eligible buildings currently matching the combined filters, so you can narrow your search without starting from scratch. Openigloo pulls in building-level details, resident feedback, and open-data signals so you can compare buildings side by side. Use reviews, building pages, and tenant Q&A to spot patterns, then confirm the current situation with the super or management before you sign.
Buildings with low open violation rates near the R train in NYC
Showing 4,357–4,374 of 6,500 buildings with low open violation rates near the R train in NYC.
75 Wall Street
Financial District
145 East 16 Street
Gramercy Park
488 7 Avenue
Midtown South
346 E 13 St
East Village
253 Cumberland Street
Fort Greene
107 St Marks Place
East Village
43-25 Hunter Street
Hunters Point
350 West 42 Street
Hell's Kitchen

219 13 Street
Park Slope
595 Baltic Street
Boerum Hill
401 West 56 Street
Hell's Kitchen
1 Duffield Street
Downtown Brooklyn
515 9 Avenue
Hudson Yards
225 Schermerhorn St
Downtown Brooklyn
120 West 21 Street
Chelsea
49 East 34 Street
Murray Hill
220 East 22 Street
Gramercy Park
42-12 28 St
Hunters Point
What to check before for buildings with low open violation rates near the R train in NYC
- Use the low-open-violations filter to focus on buildings with fewer open records at the time of Openigloo’s data refresh—still verify conditions in person.
- Narrow further with the R-train proximity filter based on the station area you’d actually commute from.
- Before touring, ask for the most recent notice history, maintenance follow-through, and who handles complaints (super vs. management).
- Compare what’s included in the monthly cost (rent plus typical move-in items like deposits/fees) so the total budget is clear, not just the asking rent.
- If you’re relying on open-data signals, ask whether any new violations were opened after the records used for the filter. Data can lag real-world conditions.